After Exploring the essential differences between noise and speech, Higher Order Statistics (HOS) are introduced in this paper and a method of using radially integrated polyspectra is applied as a feature, where multi-dimentional spectra space is transfor
After Exploring the essential differences between noise and speech, Higher Order Statistics (HOS) are introduced in this paper and a method of using radially integrated polyspectra is applied as a feature, where multi-dimentional spectra space is transfor
在此基础上，深入分析了信号域噪声与语音的本质区别，引入了数学上的高阶累计量的思想，建立了基于高阶谱的高维杭噪特徵，利用抽向积分映射的方法将高维高阶谱空间转换为一维空间，利用非平凡谱点的非线性组合建立一维的高阶谱特徵，同时并建立基于杭噪特徵的完善的搜索算法。